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DBMS > Amazon DocumentDB vs. gStore vs. YDB

System Properties Comparison Amazon DocumentDB vs. gStore vs. YDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisongStore  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA native Graph DBMS to store and maintain very large RDF datasets.A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument storeGraph DBMS
RDF store
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#125  Overall
#22  Document stores
Score0.01
Rank#374  Overall
#39  Graph DBMS
#20  RDF stores
Score0.39
Rank#262  Overall
#40  Document stores
#120  Relational DBMS
Websiteaws.amazon.com/­documentdben.gstore.cngithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationaws.amazon.com/­documentdb/­resourcesen.gstore.cn/­#/­enDocsydb.tech/­en/­docs
DeveloperYandex
Initial release201920162019
Current release1.2, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinuxLinux
Data schemeschema-freeschema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyes
SQL infoSupport of SQLnonoSQL-like query language (YQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP API
SPARQL 1.1
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
JavaScript (Node.js)
PHP
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyesno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesUsers, roles and permissions, Role-Based Access Control (RBAC) supportedAccess rights defined for Yandex Cloud users

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More resources
Amazon DocumentDBgStoreYDB
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